fast-resource 0.1.1

fast-resource is a data transformation layer that sits between the database and the application's users, enabling quick data retrieval. It further enhances performance by caching data using Redis and Memcached.

fast-resource

fast-resource is a data transformation layer that sits between the database and the application's users, enabling quick data retrieval. It further enhances performance by caching data using Redis and Memcached.

Why Use fast-resource?

fast-resource is useful in situations where there are numerous data retrieval queries, multiple data sources requiring data aggregation, and shared data between entities that need to be cached. Additionally, the type of database used is not important.

Requirements

• redis
• pymemcache

Install

> pip install fast-resource

Usage

Quick Start

from fast_resource import Resource


class UserResource(Resource):
    class Meta:
        fields = (
            'id',
            'name',
        )

    def name(self, input_data) -> str:
        return f'{input_data["name"]} {input_data["family"]}'


UserResource({'id': 1, 'name': 'bagher', 'family': 'rokni'}).to_dict()

Custom output

UserResource({'id': 1, 'name': 'bagher', 'family': 'rokni'}).to_dict(('id',))

Use cache decoder

from redis.client import Redis
from fast_resource import Resource, cache
from fast_resource.cache import RedisCache

def my_key_builder(input_data, field):
    return f'user.{input_data["id"]}.{field}'

class UserResource(Resource):
    class Meta:
        fields = (
            'id',
            'name',
        )

    @cache(key=my_key_builder)
    def name(self, input_data) -> str:
        return f'{input_data["name"]} {input_data["family"]}'


Resource.cache_init(driver=RedisCache(Redis()))
UserResource({'id': 1, 'name': 'bagher', 'family': 'rokni'}).to_dict()

Custom cache expire_time

@cache(key=my_key_builder, expire_time=60)
def name(self, input_data) -> str:
    return f'{input_data["name"]} {input_data["family"]}'

Cache delete

UserResource({'id': 1, 'name': 'bagher', 'family': 'rokni'}).cache_delete()

Cache delete & rebuild

UserResource({'id': 1, 'name': 'bagher', 'family': 'rokni'}).cache_delete(rebuild=True)

Cache delete by keys

UserResource.cache_delete_by_keys(['user.1.name'])

Create collection

user_collection = UserResource.collection([
    {'id': 1, 'name': 'bagher', 'family': 'rokni'},
    {'id': 2, 'name': 'sepehr', 'family': 'rokni'},
    {'id': 3, 'name': 'sama', 'family': 'rokni'},
])
user_collection.to_dict()